Abstract: A method of controlling a mobile or stationary terminal comprising of the steps of one of multiple ways for 3D sensing a hand or face, recognizing the visual command input by trained hardware that does not incorporate instruction based programming and then causing some useful function to be performed by the recognized gesture on the terminal. This method is to enhance gross body gesture recognition in practice today. Gross gesture recognition has been made accessible by providing accurate skeleton tracking information down to the location of a person's hands or head. Notably missing from the skeleton tracking data, however, are the detailed positions of the person's fingers or facial gestures. Recognizing the arrangement of the fingers on a person's hand or expression on his or her face has applications in recognizing gestures such as sign language, as well as user inputs that are normally done with a mouse or a button on a controller.

Abstract: A system and a method for parallel computing for solving complex problems is envisaged. Particularly, hierarchical parallel computing system is envisaged by this invention, which is formed by multiple levels of groups, where each group consists of multiple processing elements. Each group of the parallel computing system models as processing element to its immediate upper layer. Thus, each processing element is hierarchically tagged to its immediate upper level, and a multi-level tier of groups are formed. In accordance with this invention, the parallel computing system operates by breaking any problem hierarchically, first across the groups and then within the groups. This hierarchical breakup of the problem helps in significantly improving the time required for processing a problem.